An Empirical Study of the Impact of Corruption on Environmental Performance: Evidence from Panel Data

Lisciandra, Maurizio; Migliardo, Carlo

doi:10.1007/s10640-016-0019-1

Cited by 88 publications

(41 citation statements)

References 42 publications

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“…Urbanization (Fig. Lisciandra and Migliardo (2017) reported a similar relationship and a negative, linear relationship to an index of corruption. Finally, religiousness (Fig.…”

Section: Article E01525mentioning

confidence: 58%

Relationships of the Environmental Performance Index to Six Interrelated Variables in Nations Around the World

Gorham

Lehman

Kelly

2019

Bulletin Ecologic Soc America

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“…Urbanization (Fig. Lisciandra and Migliardo (2017) reported a similar relationship and a negative, linear relationship to an index of corruption. Finally, religiousness (Fig.…”

Section: Article E01525mentioning

confidence: 58%

Relationships of the Environmental Performance Index to Six Interrelated Variables in Nations Around the World

Gorham

Lehman

Kelly

2019

Bulletin Ecologic Soc America

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“…Second, the farther a country is from the equator, the more likely it is to have prominent property rights and high-quality institutions relevant to pollution levels. Therefore, countries with less corruption have lower emission levels, both in terms of CO2 (Hall and Jones, 1999;Cole, 2007;Biswas et al, 2012;Arminen and Menegaki, 2019) and SO2 (Cole, 2007;Leitão, 2010;Biswas et al, 2012), and better overall environmental performance (Lisciandra and Migliardo, 2017). To a large extent, corruption also affects the quality of national health systems.…”

Section: Data and Variablesmentioning

confidence: 99%

Disrupting COVID-19 by Improving Environmental Performance

Migliardo

2020

Preprint

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This paper provides evidence that increasing environmental quality can mitigate the spread of COVID-19 by producing natural antibodies. Using recent data from the 2020 Environmental Performance Index for more than 70 countries, our findings validate the effectiveness of lockdown policies in preventing outbreaks. The results are robust across econometric techniques as well as across the environmental proxy variables adopted. We also suggest implementing specific reforms to strengthen ecological performance.

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“…Then, these subindices are weighed approximately equally, thus yielding indices of protection of human health and protection of ecosystems. Finally, those two indicators are summarized into the EPI by applying equal weights (see Hsu et al, ), Lisciandra and Migliardo (). For example, use the EPI to explain the effect of corruption on environmental degradation.…”

Section: Environmental Awareness In the Literaturementioning

confidence: 99%

Index of environmental awareness through the MIMIC approach

Khakimova

Lösch

Wende

et al. 2019

Papers in Regional Science

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This paper addresses the issue of environmental awareness in the regions of the Russian Federation. For this purpose, an index of environmental awareness at regional level is derived as a latent variable from various categories of search entries in Yandex, the prominent Russian search engine, during two periods in the years 2014 and 2015. The frequency of these search requests presumably depends on certain economic and socio‐economic causes, which are integrated into the model for further investigation. The relation between regional wealth and environmental awareness is thereby of particular interest. The multiple indicators‐multiple (MIMIC) causes model allows us to estimate an index of environmental awareness and to rank the Russian regions according to this index.

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An Empirical Study of the Impact of Corruption on Environmental Performance: Evidence from Panel Data

Cited by 88 publications

References 42 publications

Relationships of the Environmental Performance Index to Six Interrelated Variables in Nations Around the World

Relationships of the Environmental Performance Index to Six Interrelated Variables in Nations Around the World

Disrupting COVID-19 by Improving Environmental Performance

Index of environmental awareness through the MIMIC approach

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